Simon,
To make a plugin available for use with both inline and Rcpp attributes you
need only define a function named "inlineCxxPlugin" within your package
(which can in turn call Rcpp.plugin.maker). This allow you to use it with
inline as well as Rcpp::depends.
I think this is the scenario you ar
Simon,
On 11 October 2013 at 23:43, Simon Zehnder wrote:
| I have a very short question in regard to plugins in packages. I have written
my own plugin using Rcpp.plugin.maker (very well documented in FAQ btw).
|
| I know, that on the command line calling registerPlugin() registers the
plugin.
Dear Rcpp::Users and Rcpp::Devels,
I have a very short question in regard to plugins in packages. I have written
my own plugin using Rcpp.plugin.maker (very well documented in FAQ btw).
I know, that on the command line calling registerPlugin() registers the plugin.
From RcppArmadillo I can see,
On 11 October 2013 at 10:50, Hadley Wickham wrote:
| The maintainer is very responsive so I'm sure he'd be happy to accept a patch
Yes, I had a number of emails with Olaf in the past.
| or even just a feature request. Ratio of medians sounds reasonable to me,
| although you do have enough data
I agree with Dale; it would be good to see these functions in Rcpp.
-Kevin
On Fri, Oct 11, 2013 at 6:57 AM, Smith, Dale (Norcross)
wrote:
> Romain,
>
> I don't think I have any use for your proposed code at this time. However, I
> would like to say that reducing the number of macro calls is a w
The maintainer is very responsive so I'm sure he'd be happy to accept a
patch or even just a feature request. Ratio of medians sounds reasonable to
me, although you do have enough data to actually do some statistical,
tests, rankings etc.
Hadley
On Friday, October 11, 2013, Dirk Eddelbuettel wrot
On 11 October 2013 at 09:24, Hadley Wickham wrote:
| FYI, I recommend using microbenchmark which uses a much higher
| precision timer so you can see the variability as well as the mean
| times.
Someone really needs to mod it to give the 'single figure of merit'
comparison which makes rbenchmark s
I will give some concretes next week. For now, i just wanted to hint:
- mean is a mammoth. Try applying mean_ :
mean_ <- function(.) .Internal(mean(.))
- by using x(r,_) you are allocating memory at each loop iteration, when we can
use just one vector, since all rows are by definition of the s
Interestingly, that shows that rowApply2 is actually slightly _slower_
than rowApply1.
Hadley
On Fri, Oct 11, 2013 at 9:24 AM, Hadley Wickham wrote:
> FYI, I recommend using microbenchmark which uses a much higher
> precision timer so you can see the variability as well as the mean
> times. Also
FYI, I recommend using microbenchmark which uses a much higher
precision timer so you can see the variability as well as the mean
times. Also note that you can use /*** R */ to include R code that's
automatically run when benchmarking:
https://gist.github.com/hadley/6935459
That gives:
> microben
Romain,
I don't think I have any use for your proposed code at this time. However, I
would like to say that reducing the number of macro calls is a worthy goal. My
own attitude is "build it and they will use it".
Dale Smith, Ph.D.
Senior Financial Quantitative Analyst
Financial & Risk Managemen
Le 11/10/13 13:26, Dirk Eddelbuettel a écrit :
Romain,
On 11 October 2013 at 13:03, Romain Francois wrote:
| Anyway, I'd like to propose adding Shield, Armor and Shleter to Rcpp.
Sure.
| This is a non disruptive proposal as the template classes I propose
| don't interract with the rest of the
Romain,
On 11 October 2013 at 13:03, Romain Francois wrote:
| Anyway, I'd like to propose adding Shield, Armor and Shleter to Rcpp.
Sure.
| This is a non disruptive proposal as the template classes I propose
| don't interract with the rest of the code. We might not use them in
| Rcpp, but we
Hello,
As usual when I work on some packge that use Rcpp, I come up with ideas.
On dplyrRcpp I've defined these classes to handle stack based protection
of objects from the GC. These are thin wrappers around PROTECT /
UNPROTECT / PROTECT_WITH_INDEX
Sometimes, the Rcpp api classes don't quite
Many thanks for this nice joint investigation work!
There certainly still are things to check and tweak to get the package run
smoothly and robustly on Mac (and Windows), but this is a great advance!
Coming next:
* a README file with instructions on how to build/install on these
platforms. I w
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